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四川蚕区23个主栽桑树品种基于ISSR分子标记的亲缘关系分析 被引量:2

Analysis of Genetic Relationship for 23 Major Mulberry Cultivars in Sericultural Areas of Sichuan Province Using ISSR Molecular Markers
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摘要 采用ISSR分子标记从分子水平分析四川蚕区23个主栽桑树品种的遗传多样性。从100条ISSR引物中筛选出12条特异性引物,对23个桑树品种的基因组DNA模板进行扩增,共得到116条清晰条带,其中多态性条带有93条,占总条带数的比率为80.24%;平均每个ISSR引物扩增所得条带数为9.7条,其中多态性条带数为7.8条。分析23个桑树品种的遗传相似系数为0.60~0.89,23个品种明显分为2大类,聚类结果与品种的地理分布和所属桑种没有明显的相关性。其中,粤椹大10和农桑14号之间的遗传相似系数最小(为0.51),亲缘关系最远;而桐乡青和新一之之间的遗传相似系数最大(为0.89),相对于其他品种二者的亲缘关系最近。研究结果对于科学、合理利用四川蚕区桑树品种资源有一定参考价值。 In this study, the genetic diversity of 23 major mulberry cultivars from sericultural areas of Sichuan Province was investigated with ISSR molecular marker at molecular level. Twelve specific primers which were selected from 100 IS- SR primers were used to amplify genomic DNAs of 23 mulberry varieties. Totally 100 clearly bands were obtained, among which 93 bands were polymorphic, showing a polymorphism percentage of 80.24%. On average, each primer had yiel- ded 9.7 bands, among which 7.8 bands were polymorphic. The genetic similarity coefficients of all 23 mulberry varieties ranged from 0.60 to 0.89. These mulberry varieties were clearly divided into 2 categories. The clustering of these mulberry varieties was not consistent with their geographical distribution and mulberry species, Among them, Yueshen Da 10 had the closest genetic relationship with Nongsang 14, with the lowest genetic similarity of 0.51, The genetic similarity between Tongxiangqing and Neo-lchinose was as high as 0.89, showing that they had the closest genetic relationship. These findings provide certain guid- ance for scientifical and rational use of mulberry germ- plasm resources in Sichuan sericultural area.
出处 《蚕业科学》 CAS CSCD 北大核心 2017年第2期346-350,共5页 ACTA SERICOLOGICA SINICA
基金 四川省青年科技基金项目(No.2014JQ0026) 四川省"十三五"农作物育种攻关项目(No.2016NYZ0041) 四川省农业科技成果转化资金项目(No.2016NZ0074) "十三五"四川省财政育种基因工程项目(No.2016JYGC10-027-02) 四川省农业科学院中试熟化工程项目(No.2016ZSSF012)
关键词 桑树栽培品种 ISSR分子标记 遗传多样性 聚类分析 四川蚕区 Mulberry cultivar ISSR molecular marker Ge- netic diversity Cluster analysis Sichuan sericultural area
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